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A Sustainable Approach for Determining Compromise Ranking Based on Intuitonistic Fuzzy Score Functions

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Information Technology for Management: Approaches to Improving Business and Society (FedCSIS-AIST 2022, ISM 2022)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 471))

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Abstract

Many real-world decision-making problems require some degree of uncertainty to be taken into account. For purpose of representing such problems, intuitionistic fuzzy sets are used, however, most well-known multi-criteria decision-making methods operate in a crisp environment. In this paper, we present an assessment of score functions that are used to convert fuzzy numbers into crisp ones. Five score functions were selected to assess their usefulness and effectiveness. Those functions were used to transform the theoretical fuzzy decision matrix problems into a crisp environment for evaluating alternatives using the Measurement Alternatives and Ranking according to COmpromise Solution (MARCOS) method. In addition, the compromise between score functions is presented and compared with the other results. The research showed that score functions are useful tools when dealing with problems in an uncertain environment and might prove helpful for decision-makers.

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Author information

Authors and Affiliations

  1. Research Team on Intelligent Decision Support Systems, Department of Artificial Intelligence and Applied Mathematics, Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Szczecin, Poland

    Bartosz Paradowski, Bartłomiej Kizielewicz, Jakub Więckowski & Wojciech Sałabun

  2. National Institute of Telecommunications, Szachowa 1, 04-894, Warsaw, Poland

    Bartłomiej Kizielewicz, Jakub Więckowski & Wojciech Sałabun

Authors
  1. Bartosz Paradowski
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  2. Bartłomiej Kizielewicz
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  3. Jakub Więckowski
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  4. Wojciech Sałabun
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Correspondence to Wojciech Sałabun .

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Editors and Affiliations

  1. University of Economics in Katowice, Katowice, Poland

    Ewa Ziemba

  2. University of Warsaw, Warsaw, Poland

    Witold Chmielarz

  3. University of Szczecin, Szczecin, Poland

    Jarosław Wątróbski

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Paradowski, B., Kizielewicz, B., Więckowski, J., Sałabun, W. (2023). A Sustainable Approach for Determining Compromise Ranking Based on Intuitonistic Fuzzy Score Functions. In: Ziemba, E., Chmielarz, W., Wątróbski, J. (eds) Information Technology for Management: Approaches to Improving Business and Society. FedCSIS-AIST ISM 2022 2022. Lecture Notes in Business Information Processing, vol 471. Springer, Cham. https://doi.org/10.1007/978-3-031-29570-6_10

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  • DOI: https://doi.org/10.1007/978-3-031-29570-6_10

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